Enforcing monotonic constraints on effect size parameters

Hi Keith,

hmmm, I see your point; for me personally I don’t think that ended up being an issue, but it’s true that you’ll end up having higher variance for larger m. I guess my only thought would be that you could maybe choose your prior on the \delta to have pretty low variance if you expect the \beta to all be quite similar, but maybe someone has a better idea!

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